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Datasets for residential GSHP analysis by climate in the United States

This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days...

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Autores principales: Neves, Rebecca, Cho, Heejin, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708925/
https://www.ncbi.nlm.nih.gov/pubmed/33304947
http://dx.doi.org/10.1016/j.dib.2020.106523
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author Neves, Rebecca
Cho, Heejin
Zhang, Jian
author_facet Neves, Rebecca
Cho, Heejin
Zhang, Jian
author_sort Neves, Rebecca
collection PubMed
description This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days (HDD) and relative humidity were gathered from historical weather data for 12 cities across the contiguous United States [1], [2]. Geothermal heat pump coefficients were generated as inputs to EnergyPlus™ simulation software. These heat pump coefficients are generated by compiling heat pump performance data from 5 market leading, high efficiency residential geothermal heat pump manufacturers. These coefficients can be used to represent a general, market available heat pump in 2-ton, 3-ton, and 4-ton capacities. Baseline prototype home energy use by city was generated by EnergyPlus™ using the prototype home download file from www.energy.gov and the respective weather file for that city. This data can be interpreted as energy use per month by certain HVAC components. The ground source heat pump (GSHP) home energy use by city was generated from EnergyPlus™ and the respective city weather file. The GSHP model was created by the authors to model the alternate closed loop, GSHP system. Reuse potential for heat pump coefficients and home energy use analysis is strong.
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spelling pubmed-77089252020-12-09 Datasets for residential GSHP analysis by climate in the United States Neves, Rebecca Cho, Heejin Zhang, Jian Data Brief Data Article This data captures climate information and HVAC energy use for a baseline prototype home and for a replacement alternative energy home. The baseline home is a traditional DX cooling/gas furnace system, and the alternate system is a geothermal heat pump. Cooling degree days (CDD), heating degree days (HDD) and relative humidity were gathered from historical weather data for 12 cities across the contiguous United States [1], [2]. Geothermal heat pump coefficients were generated as inputs to EnergyPlus™ simulation software. These heat pump coefficients are generated by compiling heat pump performance data from 5 market leading, high efficiency residential geothermal heat pump manufacturers. These coefficients can be used to represent a general, market available heat pump in 2-ton, 3-ton, and 4-ton capacities. Baseline prototype home energy use by city was generated by EnergyPlus™ using the prototype home download file from www.energy.gov and the respective weather file for that city. This data can be interpreted as energy use per month by certain HVAC components. The ground source heat pump (GSHP) home energy use by city was generated from EnergyPlus™ and the respective city weather file. The GSHP model was created by the authors to model the alternate closed loop, GSHP system. Reuse potential for heat pump coefficients and home energy use analysis is strong. Elsevier 2020-11-14 /pmc/articles/PMC7708925/ /pubmed/33304947 http://dx.doi.org/10.1016/j.dib.2020.106523 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Neves, Rebecca
Cho, Heejin
Zhang, Jian
Datasets for residential GSHP analysis by climate in the United States
title Datasets for residential GSHP analysis by climate in the United States
title_full Datasets for residential GSHP analysis by climate in the United States
title_fullStr Datasets for residential GSHP analysis by climate in the United States
title_full_unstemmed Datasets for residential GSHP analysis by climate in the United States
title_short Datasets for residential GSHP analysis by climate in the United States
title_sort datasets for residential gshp analysis by climate in the united states
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708925/
https://www.ncbi.nlm.nih.gov/pubmed/33304947
http://dx.doi.org/10.1016/j.dib.2020.106523
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